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Course Outline

Challenges facing forecasters

  • Customer demand planning
  • Investor uncertainty
  • Economic planning
  • Seasonal variations in demand and utilisation
  • The roles of risk and uncertainty

Time series methods

  • Moving average
  • Exponential smoothing
  • Extrapolation
  • Linear prediction
  • Trend estimation
  • Growth curve analysis

Econometric methods (causal methods)

  • Regression analysis using linear or non-linear regression
  • Autoregressive moving average (ARMA)
  • Autoregressive integrated moving average (ARIMA)
  • Econometrics

Judgemental methods

  • Surveys
  • Delphi method
  • Scenario building
  • Technology forecasting
  • Forecasting by analogy

Simulation and other methods

  • Simulation
  • Prediction markets
  • Probabilistic forecasting and ensemble forecasting
  • Reference class forecasting

Requirements

Proficient knowledge of Excel or other spreadsheet software

A solid understanding of mathematics and statistics

 14 Hours

Number of participants


Price per participant

Testimonials (4)

Provisional Upcoming Courses (Require 5+ participants)

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